The Tumor and Host Immune Signature, and the Gut Microbiota as Predictive Biomarkers for Immune Checkpoint Inhibitor Response in Melanoma Patients

被引:14
作者
Tomela, Katarzyna [1 ]
Pietrzak, Bernadeta [2 ]
Schmidt, Marcin [2 ]
Mackiewicz, Andrzej [1 ,3 ]
机构
[1] Poznan Univ Med Sci, Dept Canc Immunol, Chair Med Biotechnol, 8 Rokietnicka St, PL-60806 Poznan, Poland
[2] Poznan Univ Life Sci, Dept Food Biotechnol & Microbiol, 48 Wojska Polskiego St, PL-60627 Poznan, Poland
[3] Greater Poland Canc Ctr, Dept Diagnost & Canc Immunol, 15 Garbary St, PL-61866 Poznan, Poland
来源
LIFE-BASEL | 2020年 / 10卷 / 10期
关键词
biomarkers; immunotherapy; immune checkpoint inhibitors; gut microbiota; melanoma; DEATH-LIGAND; 1; MHC CLASS-II; CTLA-4; BLOCKADE; PD-1; LACTATE-DEHYDROGENASE; IPILIMUMAB TREATMENT; T-CELLS; ANTICANCER IMMUNOTHERAPY; PROGNOSTIC-SIGNIFICANCE; ACQUIRED-RESISTANCE;
D O I
10.3390/life10100219
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
There are various melanoma treatment strategies that are based on immunological responses, among which immune checkpoint inhibitors (ICI) are relatively novel form. Nowadays, anti-cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and anti-programmed death-1 (PD-1) antibodies represent a standard treatment for metastatic melanoma. Although there are remarkable curative effects in responders to ICI therapy, up to 70% of melanoma patients show resistance to this treatment. This low response rate is caused by innate as well as acquired resistance, and some aspects of treatment resistance are still unknown. Growing evidence shows that gut microbiota and bacterial metabolites, such as short-chain fatty acids (SCFAs), affect the efficacy of immunotherapy. Various bacterial species have been indicated as potential biomarkers of anti-PD-1 or anti-CTLA-4 therapy efficacy in melanoma, next to biomarkers related to molecular and genetic tumor characteristics or the host immunological response, which are detected in patients' blood. Here, we review the current status of biomarkers of response to ICI melanoma therapies, their pre-treatment predictive values, and their utility as on-treatment monitoring tools in order to select a relevant personalized therapy on the basis of probability of the best clinical outcome.
引用
收藏
页码:1 / 25
页数:25
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